Weather Radar’s on Wind Farms › WSR88D › Publicdocs › WR... · Wind Farm Impacts to the...
Transcript of Weather Radar’s on Wind Farms › WSR88D › Publicdocs › WR... · Wind Farm Impacts to the...
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Weather Radar’s Perspective on Wind Farms
By Geoffrey GrochocinskiIntern Meteorologist
National Weather Service, Grand Forks, ND
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The Wind Energy Industry and its Benefits
Renewable and relatively clean energy
Provides “green collar”
jobs
Low operating costs
Reliable in windy places such as North Dakota
Allows nearby land to remain in agricultural use
Can provide economic benefits in the form of
property taxes and annual landowner payments
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The Weather Radar and its Benefits
It is a key tool of weather forecasters in the
preparation of forecasts and severe weather warnings.
It is designed to detect weather targets and storm
scale winds at long ranges.
It is sensitive enough to depict clear‐air
(cloud/rain free) boundaries, such as temperature and humidity discontinuities.
Example: Fronts
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Common Goals Between the Wind Energy Industry and Meteorological Community
Enhancing the Nation’s economy through cost
savings (one through cheap, renewable energy, the other by providing a strategic means to plan operations around the weather).
Improving the quality of life (one through
providing a cleaner source of energy, the other through protecting life and property).
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Wind Farm Impacts to the Weather Radar
Moving turbine blades, unlike stationary objects
like buildings, appear as weather on the radar. Current technology cannot successfully eliminate
the “clutter”.
Potential misinterpretation or masking of
thunderstorm and/or winter storm characteristics
Potential reduction of storm warning
effectiveness near and downrange of a wind farm
False radar‐based precipitation estimates, which
could impact flash‐flood warning effectiveness and contaminate data
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The Impact of the Carroll County, IA Wind Farms on the Des Moines WFO’s WSR‐88D Doppler Weather Radar
July 19, 2007
By Karl JungbluthScience and Operations Officer (SOO)
National Weather Service, Des Moines, IA
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Real storms or
wind farms?
Caused
confusion to an emergency
manager
Question sent
to webmaster from a confused
user unable who had
trouble differentiating
between storms and false echoes
Reflectivity – 02:36 Zulu July 19, 2007
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Untrained eyes
having difficulty
differentiating between
weather and wind farms.
Trained eyes
have difficulty getting accurate
echoes near or downrange of
medium to high impact wind
farms.
Reflectivity – 02:36 Zulu July 19, 2007
StormsWind Farms
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Radar Estimated Storm Total Precipitation 05:12 Zulu July 19, 2007
Erroneous+5”
of rain
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More Examples
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Reflectivity from the Fort Drum, NY WSR‐88D Radar 12:34 Zulu March 10, 2007
Wind farm is a few
miles from this radar
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Reflectivity from the Fort Drum, NY WSR‐88D Radar 12:34 Zulu March 10, 2007
Wind farm on a ridge
The Fort Drum Radar
Spurious multi‐path scatter region
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False Tornado Alert on Dodge City, KS WSR‐88D Radar 01:50 Zulu February 23, 2007
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NWS’s Radar Operations Center (ROC)
A sub‐entity within the NWS that provides
centralized meteorological, software, maintenance, and engineering support for the
network of WSR‐88D weather radars.
It assesses impacts wind farms will have on
weather radars.
It helps to find mutually beneficial solutions for
wind farm developers and radar users/operators.
It educates the public and developers about wind
farm and weather radar interaction.
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ROC and Wind Farm Siting Proposals
Formal Process: Developers voluntarily submit
wind farm proposals to the Department of Commerce, a process recognized by the American
Wind Energy Association’s Wind Siting Handbook. The ROC then becomes involved in
finding solutions.
Informal Process: Local NWS offices send local
news about wind farm development to the ROC. The ROC then contacts the developers.
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Radar
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Radar Line of Sight (RLOS)
The ROC uses a GIS database (made from the
Space Shuttle Radar Topography Mission) to create RLOS maps for weather radars.
RLOS maps delineate areas corresponding to
turbine heights of 130, 160, and 200 meters above ground level (AGL).
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Typical RLOS Map
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Considerations in ROC Analyses
Distance of the radar to wind turbines
Maximum height of wind turbine blades
Blade intrusion into the RLOS
Elevation of local WSR‐88D radar
Terrain
Size of the Wind Farm
Wind farm orientation to the radar
Severe weather climatology
Operational experience of the meteorologists
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United States Wind Power Potential
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North Dakota Wind Power Potential
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Wind Farms in the Grand Forks WFO County Warning Area
Grand Forks NWS
Bemidji
BaudetteLangdon
Devils Lake
Langdon WindFarm
AshtabulaWind Farm
LuverneWind Farm
Fargo
Fergus Falls
Valley City
MayvilleRadar
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Mayville, ND KMVX WSR‐88D Weather Radar
Our local NOAA Doppler
Radar about 30 miles southwest of Grand
Forks
986 feet above sea level
(ASL)
About 94 feet tower to
the center of the radar dome
Radar beam departs at a
height of about 1,080.4 feet
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Mayville KMVX WSR‐88D RLOS Map
The Ashtabula Wind
Energy Center
The Mayville Radar
427 feet AGL
525 feet AGL
656 feet AGL
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Ashtabula Wind Energy Center
Low Impact
148.5 MWwind farm near Lake
Ashtabula
~35 to 42 nautical miles
from
Mayville Radar
Operational Nov 2008
99 turbines
(1.5 MW each)
~262 feet tall
from the ground to
the hub
Shorter blades…~120 feet long
Blades reach ~382 feet AGL
heights
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AshtabulaWind Farm
(99 Turbines)
Mayville KMVX
WSR‐88D
986’
MSL
94.4’
AGL,
1,080.4’
MSL
382’
AGL,1,682’
MSL
~1,300’
MSL
~35 to 42 nautical miles
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Langdon Wind Energy Center
Very Low Impact
159 MWwind farm near Langdon, ND
~ ? Nautical miles from the Mayville
Radar
Operational Jan 2008
106 turbines
(1.5 MW each)
~262 feet tall
from the ground to the
hub
Shorter blades…~120 feet long
Blades reach ~382 feet AGL
heights
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Mayville KMVX WSR‐88D RLOS Map
The LangdonWind FarmWell OffMap
The Mayville Radar
427 feet AGL
525 feet AGL
656 feet AGL
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Mayville KMVX WSR‐88D RLOS Map
The LuverneWind Farm
The Mayville Radar
427 feet AGL
525 feet AGL
656 feet AGL
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Luverne Wind Farm
Low to Medium Impact
169.5 MWwind farm near Luverne, ND
Closest…~29 to 33 nautical miles
from Mayville
Radar
Newest
to region…Operational Sept 2009
105 turbines
(1.5 MW each)
~262 feet tall
from the ground to the hub
Longest Blades…~184 feet long
Blades reach ~446 feet AGL
heights
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LuverneWind Farm
(105 Turbines)
Mayville KMVX
WSR‐88D
986’
MSL
94.4’
AGL,
1,080.4’
MSL
446’
AGL,~1,846’
MSL
~1,400’
MSL
~29 to 33nautical miles
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Examples of the Mayville Radar’s Perspective on Local Wind Farms
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March 2009 Winter Storm Snowfall Contamination
Contamination
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Radar‐Based Rainfall Estimation Contamination
Contamination
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Base Reflectivity (0.5°) Contamination (Low Impact Situation from Ashtabula Wind
Farm)
Minimal Contamination
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Base Reflectivity (0.5°) Contamination (Medium Impact Situation from Luverne Wind
Farm)
Medium Contamination
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ROC Research and Efforts to Find Mutually Beneficial Short‐Term Solutions
Funding studies of signal processing techniques
by the Atmospheric Radar Research Center at the University of Oklahoma. One method could be
knowledge based, taking in real‐time wind turbine data (rotation rate, orientation, etc.)
Establishing mutually agreed criteria in which
wind farms could temporarily cease operations to give WFOs the ability to receive less cluttered
radar data, such as in severe weather scenarios.
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OU Research and Efforts to Find Mutually Beneficial Long‐Term Solutions
Oklahoma University’s ARCC is
investigating the possible use of adaptive null steering with phased array radar.
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For More Information
The Radar Operations Center’s Website:
http://www.roc.noaa.gov/WSR88D/
American Wind Energy Association’s Wind Siting
Handbook